基于不同人体测量方法的数据一致性和可替换性研究

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基于不同人体测量方法的数据一致性和可替换性研究

Data consistency and replaceability based on different human measurement methods

基于不同人体测量方法的数据一致性和可替换性研究

Data consistency and replaceability based on different human measurement methods

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doi:10.13475/j.fzxb.20181005606

纺织学报 ›› 2019, Vol. 40 ›› Issue (09): 167-172.doi: 10.13475/j.fzxb.20181005606

余佳佳, 李健()

北京服装学院服装艺术与工程学院, 北京 100029

收稿日期:2018-10-30 修回日期:2019-06-11 出版日期:2019-09-15 发布日期:2019-09-23
通讯作者: 李健
作者简介:余佳佳(1994—),女,硕士生。主要研究方向为服装人体工学,服装结构。
基金资助:
北京市教委项目(KM201910012012);服装工效及功能创新设计北京市重点实验室项目(KYTG02170202)

YU Jiajia, LI Jian()

School of Fashion, Beijing Institute of Fashion Technology, Beijing 100029, China

Received:2018-10-30 Revised:2019-06-11 Online:2019-09-15 Published:2019-09-23
Contact: LI Jian

摘要：

为探究人体测量中三维数据与手工数据间的一致性和可替换性,及不同扫描仪所得结果间的数据等价性,利用HumanSolutions和[TC]² 2种三维扫描仪分别对20~35周岁的女性样本人体进行扫描,通过逆向工程软件手动测量388个样本的30项身体特征尺寸。对比2组三维数据与其对应手工数据的折线图,利用组内相关系数对数据的一致性进行探究;依据国标对三维数据与手工数据间的可替换性进行讨论和判别;以手工数据为媒介,对比2种三维数据与真实值间的一致性和可替换性,判断不同扫描仪数据结果的等价性。结果表明:2种仪器所得数据与手工数据间存在较好的一致性,组内相关系数大于0.75,3种数据在部分测量项上具有较好的可替换性,进行数据处理和分析时可等价使用。

关键词: 人体测量方法, 三维扫描, 一致性, 可替换性, 组内相关系数

Abstract:

In order to explore consistency and substitutability between human data results obtained by three-dimensional (3-D) scanners and manual data as well as the data equivalence between the results obtained by different scanners, this paper used HumanSolutions and [TC]² 3-D scanners to scan the samples of women between the ages of 20-35, and 30 somatotype indexes of 388 samples were manually measured by Rapidform XOR3. The consistency of the 3-D data and their corresponding manual data were checked using line chart and intraclass correlation coefficient (abbreviate it to ICC). The replaceability of the data were checked according to the national standard. With manual data as a medium, the data consistency and replaceability between two kinds of 3-D data and the real size value were compared to judge the equivalence of different 3-D data. The results show that good consistency exists between 3-D data and manual data(ICC>0.75), and the three data of Human Solutions 3-D scan, [TC]² 3-D scanning and manual measurement are replaceable on partial measurement terms, and can be used equivalently in data processing and analysis.

Key words: manual measurement method, three-dimensional scan, consistency, replaceability, intraclass correlation coefficient

中图分类号:

TS941.17

余佳佳, 李健. 基于不同人体测量方法的数据一致性和可替换性研究[J]. 纺织学报, 2019, 40(09): 167-172.

YU Jiajia, LI Jian. Data consistency and replaceability based on different human measurement methods[J]. Journal of Textile Research, 2019, 40(09): 167-172.

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仪器名称	国家	光源	扫描时间/ s	数据密度/ (字节·s^-1)	准确度/ mm
Human Solutions	德国	激光	8~20	2 000 000	5~60
[TC]²	美国	白光	8	400 000	1~2

测量项目	C_H	C_T	测量项目	C_H	C_T
颈根围	0.977	0.855	肩幅	0.950	0.921
胸围	0.982	0.983	颈根厚	0.973	0.766
乳下围	0.994	0.974	乳点位厚	0.992	0.968
腰围	0.998	0.982	胸围位中心厚	0.997	0.946
腹部前突点围	0.998	0.960	乳下围位厚	0.985	0.960
臀围	0.996	0.951	腰围位厚	0.995	0.960
小腿最突点围	0.999	0.967	腹部前突点厚	0.984	0.940
颈根宽	0.782	0.622	臀围位厚	0.989	0.940
乳点间距	0.967	0.899	小腿最突围厚	0.896	0.913
乳点位宽	0.974	0.938	后中心长	0.949	0.846
乳下围位宽	0.972	0.946	后长	0.883	0.692
腰围位宽	0.991	0.932	前中心长	0.912	0.790
腹部前突点宽	0.992	0.913	前长	0.932	0.693
臀围位宽	0.969	0.879	肩宽1	0.599	0.292
小腿最突围宽	0.940	0.916	肩宽2	0.541	0.322

测量项目		Δ_H	Δ_T	最大允差/cm
	颈根围	[-0.2,0.4]	[-0.3,0.3]	0.4
	胸围	[-1.0,-0.6]	[-0.2, 1.0 ]	0.9
	乳下围	[-0.4,-0.2]	[-0.2,0.5]	0.9
围度	腰围	[-0.2,0.5]	[-0.2,1.7]	0.9
	腹部前突点围	[-0.1,0.4]	[-0.2,0.9]	0.9
	臀围	[-0.4,-0.2]	[-0.2,1.2]	0.9
	小腿最突点围	[-0.4,-0.2]	[-0.1,0.4]	0.4
	颈根宽	[-0.5,0.2]	[-0.5,-0.1]	0.4
	乳点间距	[-0.2,0.3]	[-0.2,0.2]	0.4
	乳点位宽	[-0.6,-0.4]	[-0.2,0.5]	0.4
	乳下围位宽	[-0.5,-0.4]	[-0.1,0.6]	0.4
宽度	腰围位宽	[0.2, 0.7]	[-0.1,1.3]	0.4
	腹部前突点位宽	[-0.2,0.1]	[-0.1,0.8]	0.4
	臀围位宽	[-0.6,-0.4]	[-0.1,1.5]	0.4
	小腿最突围宽	[0.1,0.7]	[-0.1,1.1]	0.4
	肩幅(SP1)	[0.3,0.7]	[-0.1, 0.5]	0.4
	颈根厚	[0.2,0.4]	[-0.1,0.3]	0.5
	乳头点位厚	[0.1,0.7]	[-0.1,1.3]	0.5
	胸围位中心厚	[0.1,0.3]	[-0.2,1.6]	0.5
厚度	乳下围位厚	[0.0,0.6]	[-0.1,1.1]	0.5
	腰围位厚	[0.0,0.3]	[-0.1,1.2]	0.5
	腹部前突点厚	[0.1,0.6]	[-0.1,0.7]	0.5
	臀围位厚	[-0.1,0.3]	[-0.1,1.5]	0.5
	小腿最突围厚	[-0.1,0.5]	[-0.1,1.3]	0.5
	后中心长	[0.7,1.0]	[0.5,0.7]	0.5
	后长	[0.3,0.5]	[-0.3,0.5]	0.5
实长	前中心长	[-0.8,-0.5]	[-0.7,-0.2]	0.5
	前长	[-0.5,-0.3]	[-0.4, 0.4]	0.5
	肩宽2	[-0.1,0.2]	[-0.5,-0.2]	0.5
	肩宽1	[-0.5,-0.1]	[-0.2,0.5]	0.5

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